Week - 1 |
1. Week: Concepts in the Measurement and Evaluation
1. What is measurement and evaluation? Basic definitions related to measurement and evaluation; 1.1. Measuring 1.2. Criterion 1.3. Scale 1.4. Measuring 1.5. Assessment 1.6. Variable 1.7. Zero 1.8. Unit 1.9. Measuring rule 1.10. Measurement types 10.1. Direct measuring 10.2. Indirect measuring 10.3. Derived measuring 11. Scale Types 11. 1. Classification scales and their features 11.2. Rating scales and features 11.3. Equal interval scales and features 11.4. Rated scales and features 2. The importance of measurement and evaluation in education |
Week - 2 |
2. Week: Properties Measured in Education
1. Target and achievements 1.1. What is target and acquisition? 1.2. The importance of identifying the targets and acquisitions in education 1.3. Conversion of targets to acquisitions 2 Target types and classification of targets 2 1.Target types 2.2. Categorization of targets according to Bloom taxonomy 2.1. Cognitive Psychomotor affective domain of the teacher in the classroom related to the field of cognitive / affective / psychomotor level, the target software |
Week - 3 |
3. Week: Writing targets and acquisitions according to Bloom taxonomy
-Writing targets and acquisitions according to the topics in the curriculum of primary teaching |
Week - 4 |
Features necessary for measurement tools
1 Validity
1.1. The validity of the Scope
1.2. Predictive validity
1.3. Construct validity
1.4. Appearance validity
2 3 Validity of the factors affecting Reliability and Error Types
3.1. Fixed bugs
3 2. 3 Systematic errors
3. Random errors
4 Reliability testing methods and the reliability coefficient
4 1. Test-retest method,
4 2. Equivalent test method
4 3. Half of the test method
5.Factors affecting reliability |
Week - 5 |
Measurement tools used in education: traditional measurement tools: 1 Written exams 2 Oral Exams 3 Objective testing 3.1. Short answers 3.2.Gap filling 3.3. Matching 3.4. True-False 3.5. Types of Multiple Choice Exams |
Week - 6 |
Measurement tools used in education: Alternative Assessment Tools and Evaluation Approaches:
1 Portfolios (student progress files)
2 Structured Grid
3. Diagnostic branched tree
4 .Self-evaluation
5. Peer review
6.Observation Forms
7 Performance evaluation charts (check-lists, or grading scales)
8 Attitude scale
s 9 Concept maps
10 Performances, Anecdotes, Debates, Exhibitions, Interviews (Interview), Projects, Research papers and so on. |
Week - 7 |
11. Test development
1.1. Test preparation
1.2. Plan and indicator chart
2.Test Analysis of test scores and items
2.1. Item difficulty index
2.2. Discriminative power of the substance |
Week - 8 |
Writing Questions according to Bloom Taxonomy-
Preparation of appropriate indicator charts appropriate to measurement tools-
Writing questions appropriate to measurement tools |
Week - 9 |
1. Statistical operations on measurement results .
1.1. Editing methods of measuring results
1.2. Listing points according to number and preparation of frequency Tables
1.3. Figure 2 Graphic Representation of Types And Points
2. Central Accumulation size
2.1. Peak (mode)
2.2. Median (median)
2.3. Arithmetic Mean
3 Percentiles, the quarter-shift
4 The relationship between measures of central tendency.
4.1 Normal distribution
4.2. Right Skewed Distribution
4.3. Left Skewed Distribution |
Week - 10 |
Statistical Operations on measurement results (continued)
1 Central dispersion scales
1.1. Array Width (range)
1.2. Standard Deviation
1.3. Variance
2 Interpretation of the standard deviation
2.1. Kurtosis Number of floors
3 Standard Points
3.1. z score
3.2. T-score
4 Relative coefficient of variation |
Week - 11 |
Statistical operations on measuring results (continued)
Example problem solution |
Week - 12 |
Assessment of learning outcomes and grading
1 Absolute Grading Methods for evaluation
1.1. Grading by the number of correct answers
1.2. Grading according to predetermined ranges of letter grading
1.3.Grading according to the pre-defined lowest pass grade
2 Relative Grading Methods for evaluation
2.1. Method based on the normal distribution.
2.2. Method based on the mean and standard deviation
2.3. Grading by standardizing the raw scores
3 Grading according to the raw scores
4 Simple average grading
5 Different weight grading |
Week - 13 |
Assessment of learning outcomes and grading (continued)
Example problem solving |
Week - 14 |
Homework check and feedback |